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Predicting Survival From Out-of-Hospital Cardiac Arrest

Published online by Cambridge University Press:  28 June 2012

Daniel J. Lindholm  and
Jack P. Campbell
Daniel J. Lindholm*
Affiliation:
Emergency Medical Services Section, Department of Health, City of Kansas City, Missouri, USA
Jack P. Campbell
Affiliation:
Department of Emergency Medicine, School of Medicine, University of Missouri Kansas City, and Truman Medical Center, Kansas City, Missouri, USA
*
Kansas City Health Department/EMS, 2400 Troost Avenue, Suite 4200, Kansas City, Missouri 64108USA, E-Mail: daniel_lindholm@KCMO.org
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Abstract

Objective:

To determine the effect of a return of spontaneous circulation (RO SC) on survival to hospital discharge as compared to other established predictors of survival.

Methods:

A retrospective case review of all out-of-hospital primary cardiac arrests from 01 January, 1992 to 31 December 1994 was conducted. The relative values of age, race, gender, presenting cardiac rhythm, witnessed event, initiation of CPR by bystanders, response time intervals, and return of spontaneous circulation (ROSC) in an Utstein-template database were tested as predictors of survival of patients who had suffered a cardiac arrest in the out-of-hospital setting. The ROSC was defined as return of spontaneous circulation prior to and present upon arrival at the emergency department. Predictors were evaluated for statistical significance using a logistic regression analysis (p < 0.05). Odds ratios (OR) and 95% confidence intervals (CI) with positive and negative predictive values (PPV, NPV) were calculated.

Results:

Of 832 patients with primary cardiac arrest, 153 (18.4%) had ROSC and 67 (8.1%) survived to hospital discharge. Comparing survivors to nonsurvivors, the mean values for age were 64 to 67 years, with 59.7% to 36.1% being witnessed, 35.8% to 23.9% having bystander CPR initiated, 88.1% to 48.4% having ventricular fibrillation (V-fib) and 82.1% to 64.0% having ROSC. An initial electro-cardiographic rhythm of V-fib (p = 0.009; OR = 2.2; CI = 1.2-3.9), and ROSC (p < 0.0001; OR = 5.2; CI = 3.6-7.5) are statistically significant predictors of survival to hospital discharge. The PPV was 13.8% for V-fib and 35.9% for ROSC, and the NPV was 98.0% for V-fib and 98.2% for ROSC.

Conclusion:

Presenting V-fib and out-of-hospital ROSC are significant predictors of survival from cardiac arrest. Failure to obtain ROSC in the out-of-hospital setting strongly suggests consideration for terminating resuscitation efforts.

Keywords

asystolecardiac arrestemergency medical servicesout-of-hospitalparamedicspredictorspulseless electrical activityreturn of spontaneous circulationsurvivalventricular fibrillationventricular tachycardia
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 13 , Issue 2-4 , December 1998 , pp. 51 - 54
Copyright
Copyright © World Association for Disaster and Emergency Medicine 1998

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References

1. American Heart Association Emergency Cardiac Care Committee: Standards and guidelines for cardiopulmonary resuscitation (CPR) and emergency cardiac care (ECC). JAMA 1986;255:2841–3044.Google Scholar
2. Cummins, RO, Ornato, JP, Thies, WH, Pepe, PE: Special Task Force of the Subcommittee on Advanced Cardiac Life Support, American Heart Association Emergency Cardiac Care Committee: Improving survival from sudden cardiac arrest-the ‘chain of survival’ concept. Circulation. 1991;83:1832–1847.CrossRefGoogle Scholar
3. Weaver, WD, Cobb, LA, Hallstrom, AP et al. : Considerations for improving survival from out-of hospital cardiac arrest. Ann Emerg Med 1986;15:1181–1186.CrossRefGoogle ScholarPubMed
4. Eisenberg, MS, Horwood, BT, Cummins, RO et al. : Cardiac arrest and resuscitation: A tale of 29 cities. Ann Emerg Med 1990;19:179–186.CrossRefGoogle ScholarPubMed
5. Aprahamian, C, Thompson, BM, Gruchow, HW et al. : Decision making in pre-hospital sudden cardiac arrest. Ann Emerg Med 1986;15:445–449.CrossRefGoogle Scholar
6. Gray, WA, Capone, RJ, Most, AS: Unsuccessful emergency department resuscitation—Are continued efforts in the emergency department justified? N Engl J Med 1991;325:1393–1398.CrossRefGoogle ScholarPubMed
7. Kellerman, AL, Hackman, BB, Somes, G: Predicting the outcome of unsuccessful prehospital advanced life support. JAMA 1993;270:1433–1436.CrossRefGoogle Scholar
8. Bonnin, MJ, Pepe, PE, Timball, KT, Clark, PS: Distinct criteria for termination of resuscitation in the out-of-hospital setting. JAMA 1993;270:1457–1462.CrossRefGoogle ScholarPubMed
9. Stout, J. The Public Utility Model-Part II: The principal elements. Journal of Emergency Medical Service 1980;5:34–39, 41.Google ScholarPubMed
10. DeLorenzo, RA, Eilers, MA. Lights and siren: A review of emergency vehicle warning systems. Ann Emerg Med 1991,12:1331–1335.CrossRefGoogle Scholar